LREC 2000 2nd International Conference on Language Resources & Evaluation
 

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Title Enabling Resource Sharing in Language Generation: an Abstract Reference Architecture
Authors Cahill Lynne (Information Technology Research Institute, University of Brighton, Lewes Rd, Brighton, UK, rags@itri.brighton.ac.uk, http:/www.itri.brighton.ac.uk/projects/rags)
Doran Christy (Information Technology Research Institute, University of Brighton, Lewes Rd, Brighton, UK, rags@itri.brighton.ac.uk, http:/www.itri.brighton.ac.uk/projects/rags)
Evans Roger (Information Technology Research Institute, University of Brighton, Lewes Rd, Brighton, UK, rags@itri.brighton.ac.uk, http:/www.itri.brighton.ac.uk/projects/rags)
Kibble Rodger (Information Technology Research Institute, University of Brighton, Lewes Rd, Brighton, UK, rags@itri.brighton.ac.uk, http:/www.itri.brighton.ac.uk/projects/rags)
Mellish Chris (Division of Informatics, University of Edinburgh, 80 South Bridge, Edinburgh, UK, rags@itri.brighton.ac.uk, http:/www.itri.brighton.ac.uk/projects/rags)
Paiva D. (Information Technology Research Institute, University of Brighton, Lewes Rd, Brighton, UK, rags@itri.brighton.ac.uk, http:/www.itri.brighton.ac.uk/projects/rags)
Reape Mike (Division of Informatics, University of Edinburgh, 80 South Bridge, Edinburgh, UK, rags@itri.brighton.ac.uk, http:/www.itri.brighton.ac.uk/projects/rags)
Scott Donia (Information Technology Research Institute, University of Brighton, Lewes Rd, Brighton, UK, rags@itri.brighton.ac.uk, http:/www.itri.brighton.ac.uk/projects/rags)
Tipper Neil (Information Technology Research Institute, University of Brighton, Lewes Rd, Brighton, UK, rags@itri.brighton.ac.uk, http:/www.itri.brighton.ac.uk/projects/rags)
Keywords Architectures, Natural Language Generation, Reusability
Session Session WO4 - Reusability Issues
Full Paper 244.ps, 244.pdf
Abstract The RAGS project aims to develop a reference architecture for natural language generation,to facilitate modular development of NLG systams as well as evaluation of components, systems and algorithms. This paper gives an overview of the proposed framework, describing an abstract data model with five levels of representation: Conceptual, Semantic, Rhetorical, Document and Syntactic. We report on a re-implementation of an existing system using the RAGS data model.